collect_classes-ConsensusPartition-method {cola} | R Documentation

## Collect classes from ConsensusPartition object

### Description

Collect classes from ConsensusPartition object

### Usage

    ## S4 method for signature 'ConsensusPartition'
    collect_classes(object, internal = FALSE, show_row_names = FALSE,
        anno = get_anno(object), anno_col = get_anno_col(object))

### Arguments

`object` | A `ConsensusPartition-class` object.
`internal` | Used internally.
`show_row_names` | Whether show row names in the heatmap (which is the column name in the original matrix).
`anno` | A data frame of annotations for the original matrix columns. By default it uses the annotations specified in `consensus_partition` or `run_all_consensus_partition_methods`.
`anno_col` | A list of colors (color is defined as a named vector) for the annotations. If `anno` is a data frame, `anno_col` should be a named list where names correspond to the column names in `anno`.

### Details

The percent membership matrix and the class IDs for each k are plotted in the heatmaps.

Same row in all heatmaps corresponds to the same column in the original matrix.

### Value

No value is returned.

### Author(s)

Zuguang Gu <z.gu@dkfz.de>

### Examples

    data(cola_rl)
    collect_classes(cola_rl["sd", "kmeans"])

[Package cola version 1.2.1 Index]